Raheem Peerani

2.9k total citations · 1 hit paper
18 papers, 2.3k citations indexed

About

Raheem Peerani is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Raheem Peerani has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Biomedical Engineering and 5 papers in Cell Biology. Recurrent topics in Raheem Peerani's work include 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (9 papers) and Cellular Mechanics and Interactions (3 papers). Raheem Peerani is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (9 papers) and Cellular Mechanics and Interactions (3 papers). Raheem Peerani collaborates with scholars based in Canada, United States and Australia. Raheem Peerani's co-authors include Peter W. Zandstra, Eugenia Kumacheva, Céline L. Bauwens, Balaji M. Rao, Eugenia Kumacheva, Mansoor Husain, Ting Yin, Payman Samavarchi‐Tehrani, Joanna Dembowy and Xaralabos Varelas and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Journal of Clinical Investigation.

In The Last Decade

Raheem Peerani

18 papers receiving 2.2k citations

Hit Papers

TAZ controls Smad nucleocytoplasmic shuttling and regulat... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raheem Peerani Canada 11 1.3k 1.2k 626 403 153 18 2.3k
Ryo Sudo Japan 27 635 0.5× 1.4k 1.1× 368 0.6× 451 1.1× 365 2.4× 78 2.3k
Laura E. Dike United States 10 733 0.6× 906 0.7× 821 1.3× 154 0.4× 139 0.9× 12 2.2k
Luis G. Villa‐Diaz United States 19 1.1k 0.9× 1.0k 0.8× 420 0.7× 497 1.2× 141 0.9× 35 1.9k
Jonathan W. Song United States 23 799 0.6× 1.5k 1.2× 415 0.7× 200 0.5× 442 2.9× 55 2.4k
Jae‐Won Shin United States 20 811 0.6× 922 0.7× 809 1.3× 296 0.7× 356 2.3× 54 2.4k
Karen Havenstrite United States 7 724 0.6× 742 0.6× 484 0.8× 372 0.9× 133 0.9× 8 1.6k
Vernella Vickerman United States 10 481 0.4× 1.0k 0.9× 250 0.4× 214 0.5× 223 1.5× 11 1.4k
Vincent F. Fiore United States 15 719 0.6× 545 0.4× 702 1.1× 441 1.1× 211 1.4× 20 2.3k
Nicolas Christoforou United States 24 1.1k 0.8× 769 0.6× 166 0.3× 681 1.7× 74 0.5× 43 2.3k

Countries citing papers authored by Raheem Peerani

Since Specialization
Citations

This map shows the geographic impact of Raheem Peerani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raheem Peerani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raheem Peerani more than expected).

Fields of papers citing papers by Raheem Peerani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raheem Peerani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raheem Peerani. The network helps show where Raheem Peerani may publish in the future.

Co-authorship network of co-authors of Raheem Peerani

This figure shows the co-authorship network connecting the top 25 collaborators of Raheem Peerani. A scholar is included among the top collaborators of Raheem Peerani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raheem Peerani. Raheem Peerani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Peerani, Raheem, Manish A. Shah, Runjan Chetty, et al.. (2023). Long‐standing laryngeal rhinoscleroma with rare Mikulicz cells. SHILAP Revista de lepidopterología. 11(6). e7490–e7490. 2 indexed citations
2.
Kumar, Jyoti, Raheem Peerani, Elizabeth A. Morgan, et al.. (2020). LIM domain only 2 (LMO2) expression distinguishes T‐lymphoblastic leukemia/lymphoma from indolent T‐lymphoblastic proliferations. Histopathology. 77(6). 984–988. 6 indexed citations
3.
Peerani, Raheem, et al.. (2019). Myeloid Cell Nuclear Differentiation Antigen (MNDA) Positivity in Primary Follicles: Potential Pitfall in the Differential Diagnosis With Marginal Zone Lymphoma. Applied immunohistochemistry & molecular morphology. 28(5). 384–388. 9 indexed citations
4.
Peerani, Raheem, et al.. (2017). Sudden Death of a Young Man by Acute Hemorrhagic Leukoencephalitis. Academic Forensic Pathology. 7(3). 487–493. 3 indexed citations
5.
Poon, Ian, Raheem Peerani, Simon Raphael, et al.. (2015). Tumor shrinkage associated with whole-mount histopathologic techniques in oral tongue carcinoma. Pathology - Research and Practice. 211(5). 398–403. 8 indexed citations
6.
Yan, Andrew T., Anish Kirpalani, Kim A. Connelly, et al.. (2014). Benign Intramyocardial Mesothelial Cyst in the Right Ventricular Outflow Tract. Circulation. 130(24). e275–7. 1 indexed citations
7.
Tumarkin, Ethan, Elizabeth Csaszar, Minseok Seo, et al.. (2011). High-throughput combinatorial cell co-culture using microfluidics. Integrative Biology. 3(6). 653–653. 159 indexed citations
8.
Peerani, Raheem & Peter W. Zandstra. (2010). Enabling stem cell therapies through synthetic stem cell–niche engineering. Journal of Clinical Investigation. 120(1). 60–70. 135 indexed citations
9.
Peerani, Raheem, Kento Onishi, Alborz Mahdavi, Eugenia Kumacheva, & Peter W. Zandstra. (2009). Manipulation of Signaling Thresholds in “Engineered Stem Cell Niches” Identifies Design Criteria for Pluripotent Stem Cell Screens. PLoS ONE. 4(7). e6438–e6438. 55 indexed citations
10.
Peerani, Raheem. (2009). Niche-Engineering to Control Pluripotent Stem Cell Fate. 87(1). 1 indexed citations
11.
Peerani, Raheem, et al.. (2008). Micropatterning of human embryonic stem cells dissects the mesoderm and endoderm lineages. Stem Cell Research. 2(2). 155–162. 70 indexed citations
12.
Varelas, Xaralabos, Rui Sakuma, Payman Samavarchi‐Tehrani, et al.. (2008). TAZ controls Smad nucleocytoplasmic shuttling and regulates human embryonic stem-cell self-renewal. Nature Cell Biology. 10(7). 837–848. 548 indexed citations breakdown →
13.
Bauwens, Céline L., Raheem Peerani, Nimalan Thavandiran, et al.. (2008). Generation of human embryonic stem cell‐derived mesoderm and cardiac cells using size‐specified aggregates in an oxygen‐controlled bioreactor. Biotechnology and Bioengineering. 102(2). 493–507. 164 indexed citations
14.
Peerani, Raheem, Céline L. Bauwens, Eugenia Kumacheva, & Peter W. Zandstra. (2008). Patterning Mouse and Human Embryonic Stem Cells Using Micro-contact Printing. Methods in molecular biology. 482. 21–33. 30 indexed citations
15.
Bauwens, Céline L., Raheem Peerani, Kimberly A. Woodhouse, et al.. (2008). Control of Human Embryonic Stem Cell Colony and Aggregate Size Heterogeneity Influences Differentiation Trajectories. Stem Cells. 26(9). 2300–2310. 350 indexed citations
16.
Peerani, Raheem, Balaji M. Rao, Céline L. Bauwens, et al.. (2007). Niche‐mediated control of human embryonic stem cell self‐renewal and differentiation. The EMBO Journal. 26(22). 4744–4755. 311 indexed citations
17.
Zhang, Hong, Ethan Tumarkin, Raheem Peerani, et al.. (2006). Microfluidic Production of Biopolymer Microcapsules with Controlled Morphology. Journal of the American Chemical Society. 128(37). 12205–12210. 307 indexed citations
18.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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